Novel domain combinations in proteins encoded by chimeric transcripts.
Novel domain combinations in proteins encoded by chimeric transcripts.
复制标题
DOI:
10.1093/bioinformatics/bts216
复制
发表时间:
2012-06-15
期刊:
影响因子:
--
通讯作者:
Valencia A
中科院分区:
文献类型:
--
作者:
Frenkel-Morgenstern M;Valencia A
Motivation: Chimeric RNA transcripts are generated by different mechanisms including pre-mRNA trans-splicing, chromosomal translocations and/or gene fusions. It was shown recently that at least some of chimeric transcripts can be translated into functional chimeric proteins. Results: To gain a better understanding of the design principles underlying chimeric proteins, we have analyzed 7,424 chimeric RNAs from humans. We focused on the specific domains present in these proteins, comparing their permutations with those of known human proteins. Our method uses genomic alignments of the chimeras, identification of the gene–gene junction sites and prediction of the protein domains. We found that chimeras contain complete protein domains significantly more often than in random data sets. Specifically, we show that eight different types of domains are over-represented among all chimeras as well as in those chimeras confirmed by RNA-seq experiments. Moreover, we discovered that some chimeras potentially encode proteins with novel and unique domain combinations. Given the observed prevalence of entire protein domains in chimeras, we predict that certain putative chimeras that lack activation domains may actively compete with their parental proteins, thereby exerting dominant negative effects. More generally, the production of chimeric transcripts enables a combinatorial increase in the number of protein products available, which may disturb the function of parental genes and influence their protein–protein interaction network. Availability: our scripts are available upon request. Contact: avalencia@cnio.es Supplementary information: Supplementary data are available at Bioinformatics online.
登录
查看更多内容
影响因子:
3.3
作者:
Fay MP;Proschan MA
通讯作者:
Proschan MA
影响因子:
12.4
作者:
Alwin, S;Gere, MB;Cathomen, T
通讯作者:
Cathomen, T
DOI:
10.1073/pnas.040552697
发表时间:
2000-02-15
影响因子:
11.1
作者:
Beerli, RR;Dreier, B;Barbas, CF
通讯作者:
Barbas, CF
影响因子:
14.9
作者:
Gould CM;Diella F;Via A;Puntervoll P;Gemünd C;Chabanis-Davidson S;Michael S;Sayadi A;Bryne JC;Chica C;Seiler M;Davey NE;Haslam N;Weatheritt RJ;Budd A;Hughes T;Pas J;Rychlewski L;Travé G;Aasland R;Helmer-Citterich M;Linding R;Gibson TJ
通讯作者:
Gibson TJ
影响因子:
3.5
作者:
Breen, MA;Ashcroft, SJH
通讯作者:
Ashcroft, SJH